Upbound (UPBD) Accumulated Expenses (2009 - 2026)
Upbound's Accumulated Expenses was $416.43 million in Q2 2026, up 0.2% from $415.68 million a year earlier but down 7.7% from the prior quarter.
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Analysis
Upbound (UPBD) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Upbound came in at $461.03 million, up 51.5% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $304.21 million in FY2024 (-5.8%), $322.91 million in FY2023 (+0.7%), $320.62 million in FY2022 (-11.6%) and $362.71 million in FY2021 (+13.1%).
- Quarterly Accumulated Expenses has moved between $268.11 million (Q2 2024) and $461.03 million (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for six straight quarters, with growth averaging 22.9% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2025 (growth of 55.0%); the worst was Q1 2022 (a decline of 15.1%).
- Per Business Quant data, UPBD's Accumulated Expenses in the three quarters before Q2 2026 was $451.38 million (Q1 2026), $461.03 million (Q4 2025) and $411.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - |
| 10 | Upbound | 915.30 Mn | 484.04 Mn | 594.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 416.43 Mn |
| Mar 31, 2026 | 451.38 Mn |
| Dec 31, 2025 | 461.03 Mn |
| Sep 30, 2025 | 411.56 Mn |
| Jun 30, 2025 | 415.68 Mn |
| Mar 31, 2025 | 384.86 Mn |
| Dec 31, 2024 | 304.21 Mn |
| Sep 30, 2024 | 281.99 Mn |
| Jun 30, 2024 | 268.11 Mn |
| Mar 31, 2024 | 308.33 Mn |
| Dec 31, 2023 | 322.91 Mn |
| Sep 30, 2023 | 299.60 Mn |
| Jun 30, 2023 | 307.83 Mn |
| Mar 31, 2023 | 319.68 Mn |
| Dec 31, 2022 | 320.62 Mn |
| Sep 30, 2022 | 308.39 Mn |
| Jun 30, 2022 | 318.10 Mn |
| Mar 31, 2022 | 323.86 Mn |
| Dec 31, 2021 | 362.71 Mn |
| Sep 30, 2021 | 360.57 Mn |
API Access
Upbound Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=UPBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "UPBD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=UPBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();